Job Description

Onsite at MPK.

5+ years data science experience (SQL, Python/R)
Strong analytical & modeling skills
Skilled in data visualization (Tableau, Unidash, Metrics360)
Excellent communicator & collaborator
Experience with large-scale datasets
Able to work independently, fast-paced environment
Previous Meta is highly preferred
Products analysis experience

Responsibilities

1. Data Analysis & Modeling:
Conduct rigorous analysis of complex datasets to identify trends, patterns, and actionable insights pertinent to Meta’s ecosystem (products, partners, platforms, and user interactions).

2. Metric Development:
Design, implement, and meticulously maintain critical metrics to accurately measure ecosystem health, growth, and engagement.

3. Experimentation:
Develop and execute structured experiments to rigorously evaluate new features, strategic partnerships, and ecosystem strategies.

4. Stakeholder Collaboration:
Engage closely with cross-functional teams (Product, Engineering) to formally define requirements, deliver comprehensive insights, and inform strategic decision-making.

5. Reporting & Visualization:
Construct sophisticated dashboards and detailed reports to effectively communicate findings to both technical and non-technical stakeholders.

6. Ad Hoc Analysis:
Provide timely, high-quality analytical responses to urgent business inquiries.

Minimum Qualifications

• A Bachelor’s or Master’s degree is required in Data Science, Statistics, Computer Science, Economics, or a closely related quantitative field.
• A minimum of five (5) years of professional experience in data science, analytics, or a functionally equivalent role (either contract or full-time employment).
• Demonstrated proficiency in SQL and at least one high-level programming language (e.g., Python, R).
• Practical experience utilizing data visualization platforms (e.g., Tableau, Unidash, Metrics360).
• Exceptional communication skills, with the proven ability to articulate and present complex findings with clarity and precision.
• The capacity to operate autonomously and effectively manage competing priorities within a dynamic, high-velocity operational environment.
• Preferred Qualifications
• Significant experience working with large-scale data infrastructure within technology or platform ecosystems.
• Familiarity with Meta’s proprietary internal data tools (e.g., Presto, Scuba, Hive).
• Previous professional engagement in a contractor or consulting capacity.
• Substantive knowledge of formal experimentation design principles and causal inference methodologies.

Must-Have Skills
Advanced Data Analysis & Modeling: Strong proficiency in SQL and at least one programming language (Python, R, etc.).
Data Visualization: Experience with tools like Tableau, Unidash, or Metrics360.
Communication & Collaboration: Ability to present complex findings clearly and work cross-functionally.

Nice-to-Have Skills
Large-Scale Data Experience: Prior work with big data in tech/platform ecosystems.
Meta Internal Tools: Familiarity with Presto, Scuba, Hive, etc.
Experimentation & Causal Inference: Knowledge of experiment design and causal analysis.